Customer-Product Analysis With Tableau | Tableau Training For Beginners | Tableau Tutorial | Edureka

What is Tableau?

Introduction to Tableau

• Rima introduces the live session on Tableau, focusing on customer product analysis using Superstore data.

• The agenda includes understanding what Tableau is, its popularity, the need for data visualization, and a hands-on analysis.

Benefits of Using Tableau

• Tableau is described as groundbreaking data visualization software that connects to various data sources and visualizes large datasets effectively.

• Users can perform operations like drilling down into datasets and applying different visualizations to gain insights dynamically.

Tableau's Popularity and Trends

Gartner's Magic Quadrant

• Rima references Gartner's Magic Quadrant, highlighting that Tableau is a leader among BI tools based on performance analysis.

• Competitors like Microsoft Power BI and Qlik are mentioned as being lower in ranking compared to Tableau.

Tableau Product Family Overview

Different Software Offerings

• The primary software is Tableau Desktop, which allows self-service analytics and direct connections to various databases (e.g., Amazon Redshift, Oracle).

• Users can perform queries without coding by importing data from multiple sources into the Tableau engine.

Enterprise Solutions

• Tableau Server enables publishing dashboards created in Desktop for sharing across organizations via web-based access.

• The free application, Tableau Reader, allows users to view but not edit visualizations made in Desktop.

Understanding Data Visualization Needs

Importance of Data Visualization

Understanding Data Visualization and Tableau Basics

Importance of Data Visualization

• The speaker discusses the significance of plotting data points on a graph, highlighting that while numerical values may appear similar across different quarters, visual representation reveals distinct differences.

• It is emphasized that despite close numerical values, visualizing data can lead to vastly different interpretations, as demonstrated by various line shapes when plotted.

• The necessity of visualization is underscored; raw numbers alone do not provide clear insights. Visualization tools are essential for effective analysis in companies.

• The rise of visualization tools is noted as crucial for generating reports and uncovering insights from data sets.

Introduction to Tableau

• Before diving into a demo, the speaker introduces basic concepts related to Tableau's functionality and its role in data visualization.

Data Types in Tableau

• An overview of different data types used in Tableau is provided: boolean (true/false), whole numbers (natural numbers including zero), decimal numbers (fractional), date formats, timestamps (hours/minutes with AM/PM), text strings, and geographic values.

• Geographic values allow users to plot maps using latitude and longitude coordinates within Tableau.

Measures vs. Dimensions

• A distinction between measures (dependent variables needing context) and dimensions (independent variables providing context) is made. Typically, dimensions are textual while measures are numerical.

• An example illustrates how sales figures become meaningful when associated with specific product IDs rather than presented as standalone numbers.

Demo Overview Using Superstore Data

• The demo will utilize Superstore data included with Tableau software to analyze sales performance and identify areas for improvement.

• The goal is to determine which customer segments contribute most significantly to profits and which products drive those sales.

• In the demo setup, dimensions are displayed alongside measures in Tableau’s interface, allowing users to explore hierarchies within categories such as products or locations.

Sales Analysis and Forecasting in Tableau

Overview of Sales Data

• The speaker demonstrates how to sort sales data in ascending or descending order, highlighting that phones have the highest sales, followed by chairs, storage, and tables.

Understanding Dimensions and Measures

• The speaker confirms visibility of the screen and introduces the sample superstore dataset. They explain dimensions (marked with an ABC) and measures (indicated by a green hashtag).

• Hierarchies within dimensions are discussed, allowing users to drill down into specific categories like order date and product types.

Identifying Highest Selling Products

• The process of identifying top-selling products is outlined: dragging subcategory into rows and sales into columns for sorting.

• Phones emerge as the highest-selling product at $330,000; other low-selling items include machines and fasteners.

Profitability Insights

• A measure for profit is introduced; color coding indicates profitability levels—orange/red signifies loss while darker blue indicates higher profits.

• Despite being a high seller, tables show negative profit margins, emphasizing the importance of comparing sales against profitability.

Creating Worksheets for Further Analysis

• The speaker renames their sheet to "highest selling products" before moving on to forecasting future sales trends.

Forecasting Sales Trends

• An introduction to forecasting using Tableau's multiplicative algorithm is provided. This method aims for accuracy in predicting future sales based on historical data.

Implementing Forecasting Techniques

• Steps are taken to forecast future sales by selecting years from order dates along with subcategories like appliances.

• The analysis shows projected increases in accessory sales but forecasts declines for binders.

Visualization Options in Tableau

• Tableau automatically selects appropriate graph types for visualizations. Users can also manually choose visualization styles through the "show me" tab.

Finalizing Forecast Analysis

Understanding Profit Distribution by Region and Customer Segments

Analyzing Geographic Profitability

• The speaker discusses the use of geographic locations (latitude and longitude) to measure sales performance, sorting data based on profit.

• A map visualization is introduced, highlighting states with higher profits; California shows the highest profit at $76,000 while Texas also ranks significantly.

Identifying Elite Customers

• The focus shifts to identifying elite customers who contribute most to profits. The sheet is renamed to reflect this analysis: "profit region wise."

• Different customer segments are analyzed: consumer, corporate, and home office. Individual consumers are identified as significant buyers.

Visualizing Sales Data

• The size of each segment indicates purchasing behavior; larger sizes represent individual consumers compared to corporate buyers.

• Profit details are displayed through hover features in visualizations, revealing total profits for different segments.

Product Analysis Through Filters

• Additional filters can be applied to analyze specific product categories purchased by consumers, enhancing insights into profitability.

• By selecting specific subcategories like appliances or tables, it becomes clear that individual consumers drive higher profits compared to corporate clients.

Creating a Comprehensive Dashboard

• All sheets can be combined into a dashboard for presentation purposes. This includes various analyses such as highest selling products and regional profit calculations.

• Instructions are provided on saving workbooks in Tableau Desktop or publishing them on Tableau Public for broader access.

Exploring Visualization Options

• Users are encouraged to experiment with different visualization types using the "show-me" tab in Tableau for optimal representation of data.

• Various graph types like bar graphs or scatter plots can be utilized depending on the data being presented.

Conclusion and Feedback Opportunity

Accessing Tableau Resources

Exploring Blogs and YouTube Content

• To find various blogs related to Tableau, visit WWE Kakao's blog section and search for "Tableau" to access a wide range of articles, including interview questions.

• The platform also offers a dedicated YouTube playlist featuring all available Tableau videos, providing visual learning resources for users.

Notifications and Course Information

• Users are encouraged to click the bell icon on YouTube to receive notifications whenever new content is uploaded, ensuring they stay updated with the latest information.

• For comprehensive course details, visit WWE de cacao's course landing page where you can search for Tableau-related information, including FAQs and certification details.